B.Tech CSE 2.0 Specialization in GENERATIVE AI
(Industry Integrated)

Engineering B.Tech - CSE (GENERATIVE AI)

Explore the power of creativity and innovation with Dev Bhoomi Uttarakhand University's (DBUU) B.Tech CSE 2.0 Specialization in Generative AI Collaboration with Microsoft.. DBUU's School of Engineering and Computing is renowned for its exceptional faculty and industry-aligned curriculum. This unique undergraduate program equips you with the technical expertise and design thinking skills to become a leader in the rapidly evolving field of Generative AI.

Through a blend of core computer science principles, machine learning foundations, and specialized Generative AI courses, you'll delve into topics like deep learning, image generation, natural language processing, and adversarial networks. DBUU's emphasis on hands-on learning ensures you gain practical experience by working on real-world projects, preparing you to tackle the challenges and opportunities that lie ahead in the Generative AI landscape.

Salient Features

  • 19+ years of excellence
  • Focus on student-centered learning
  • Problem-based learning and industry-relevant curriculum
  • Best placement opportunities to get placed in high-end and reputed companies
  • Industrial training in reputable firms and organizations
  • The privilege of 100% placement guidance and support
  • Department-organized tech fests and hackathons
  • Industry visits, seminars, workshops, and guest lectures by eminent researchers and industry practitioners
  • Tie up with prominent industries to help students get trained in advanced technologies
  • Active student clubs and bodies
  • The multi-cultural and vibrant teaching environment

Admissions Open-2024

Merit-based admission process with online application at Dev Bhoomi Uttarakhand University.

Eligibility & Duration

  • Duration : 4 Years
  • Candidate must have passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/Computer Science/ Electronics/ Information Technology/Biology/Informatics Practices and have obtained at least 65% marks (60% in case of candidate belonging to reserved category) in the above subjects taken together from a recognized board/university.

Fee Structure

Course Total Fee
Academic fee( Per Sem) ₹ 1,00,000/-
Industry Integrated Specialization Fee (Per Semester) ₹ 12,500/-

One Time Fee

Application Fee (Non-Refundable) Admission Fee (Non-Refundable) University Enrollment Fee (Non-Refundable)
₹ 1,500 ₹ 7,000 ₹ 3,000
Exam fees ( Per Semester) ₹ 4,500/-
Download Fee Structure Click here

Program Educational Objectives (PEO's)

PEO-1 Develop a strong foundation in computer science fundamentals, algorithms, and data structures.
PEO-2 Master the principles of machine learning and deep learning, including neural networks and their applications.
PEO-3 Gain a comprehensive understanding of Generative AI concepts, techniques, and their potential impact across various industries.
PEO-4 Cultivate critical thinking, problem-solving, and analytical skills essential for success in the field of AI.
PEO-5 Grow effective communication, teamwork, and collaboration skills to excel in a dynamic and collaborative work environment.

Program Specific Objectives (PSO's)

PSO-1 Implement various Generative AI models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
PSO-2 Apply Generative AI techniques for tasks like image and text generation, music composition, and data augmentation.
PSO-3 Evaluate and analyze the ethical considerations and potential biases inherent in Generative AI systems.
PSO-4 Design and develop innovative Generative AI applications for solving real-world problems in diverse domains.
PSO-4 Stay updated with the latest advancements in Generative AI research and effectively communicate your findings to both technical and non-technical audiences.

Job Opportunities
The Course Might Lead To

This specialized program opens doors to exciting career paths in

Generative AI Engineer

Machine Learning Engineer

Research Scientist (Generative AI)

Computer Vision Engineer

Natural Language Processing Engineer

AI Product Developer

Robotics Engineer

Data Scientist (Generative AI)

And many more emerging roles in the AI field.